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Community detection is an advanced graph operation that is used to reveal tightly-knit groups of vertices (aka. communities) in real-world networks. Given the intractability of the problem, efficient heuristics are used in practice. Yet, even the best of these state-of-the-art heuristics can become computationally demanding over large inputs and can generate workloads that exhibit inherent irregularity...
Nowadays, thanks to technology miniaturization and industrial standards, it is possible to create System-on-Chip (SoC) architectures featuring a combination of many components, like processor cores and specialized hardware accelerators. However, designing an SoC to accelerate an embedded application is particularly complex. After decomposing this application into tasks and assigning each of them to...
In this paper, we present different acceleration concepts for the Robust Header Compression version 2 (ROHCv2) algorithms in Long Term Evolution (LTE) handsets. First, we explore the potential performance improvements and energy savings by adopting scratchpad memories at various sizes. Second, dedicated hardware accelerators with different data transfer modes are compared in terms of processing speed...
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